The recent technological era is witnessing a growing ubiquity of IoT devices. This will help to ensure better connectivity to collect, transfer, and manage data. Data is the core of a decision-making process. Collecting large data volumes from various sources and effective analytics helps gather good insights, enabling the stakeholders to boost their decision-making process. Devices create data across the Internet of Things, which gets forward to the main application for use and consumption.
An IoT ecosystem includes web-enabled smart devices that function using embedded systems, like processors, sensors, and communication hardware. These devices are connected over the Internet. A vast network of sensors collects a boatload of information that helps in improving products and services in various industries. It opens up new revenue opportunities, enables enterprises to promote growth and innovation, and speeds up cash flow.
IoT systems represent the effective integration of four distinct components.
- Data processing, and
- A UI (User Interface).
Within the IoT system, the sensors or devices help collect information from the environment in which they are embedded. The data collected can vary in the level of complexity. The term “sensors/devices” may include a bundle of multiple sensors, or the sensors may be part of a larger device that fulfills various functions. For example, mobile phones have various sensors, but as a whole, it is not a sensor but performs a wide array of functions. However, a standalone sensor or an entire device achieves the crucial role of data collection.
Once the sensors collect data, they must forward it to the cloud. You can connect it with the cloud using various methods such as cellular, satellite, Wi-Fi, Bluetooth, or LPWAN. You can use a gateway or router to connect it or use Ethernet cables for a seamless connection. Consider your specific power consumption, range, and bandwidth requirements to make the right choice. It will enable you to meet the needs of your particular IoT application and help you to transfer data to the cloud.
Data processing is a crucial step that must be achieved once the data gets stored in the cloud. The integrated software must process the data to transform it into usable and appropriate information. It synchronizes data from various sources and makes it ready for end-use.
There should be an efficient mechanism for the end-consumption of the gathered and analyzed data. It will enable the users to utilize this information. An alert can be sent to the user via options such as mail, text, notification, or others. Integrating an intelligent interface will enable users to check in on the system proactively. A business-intelligent dashboard can present information in a usable format to the end-users.
The users must perform good actions based on the IoT application. These actions can also be automated to trigger based on predefined requirements. It helps in minimizing human intervention and improves the system’s efficiency.
An IoT system consists of these essential components that efficiently collect, process, and utilize data. When building or implementing an IoT solution for your organization, you need to map your requirements and understand the importance of these components to make the right solution.